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EORTC 计算机化自适应测试(CAT)疲劳项目池的心理计量学评估。

Psychometric evaluation of the EORTC computerized adaptive test (CAT) fatigue item pool.

机构信息

The Research Unit, Department of Palliative Medicine, Bispebjerg University Hospital, Bispebjerg bakke 23, 2400, Copenhagen, NV, Denmark,

出版信息

Qual Life Res. 2013 Nov;22(9):2443-54. doi: 10.1007/s11136-013-0372-2. Epub 2013 Feb 28.

DOI:10.1007/s11136-013-0372-2
PMID:23446449
Abstract

PURPOSE

Fatigue is one of the most common symptoms associated with cancer and its treatment. To obtain a more precise and flexible measure of fatigue, the EORTC Quality of Life Group has developed a computerized adaptive test (CAT) measure of fatigue. This is part of an ongoing project developing a CAT version of the widely used EORTC QLQ-C30 questionnaire.

METHODS

Based on the literature search and evaluations by experts and patients, 41 new fatigue items were developed (in addition to the three QLQ-C30 fatigue items). Psychometric properties of the items, including evaluations of dimensionality, fit to item response theory (IRT) model, and differential item functioning (DIF), were assessed in an international sample of cancer patients.

RESULTS

Responses were obtained from 1,321 cancer patients coming from eight countries. Factor analysis showed that 37 of the items could be included in a unidimensional model (RMSEA = 0.098, TLI = 0.995, CFI = 0.920). Of the 37 items, two were deleted because of poor fit to the IRT model forming the basis for the CAT, and one because of DIF between cancer sites.

CONCLUSIONS

We have established a 34-item fatigue bank allowing for more precise and flexible measurement of fatigue, while still being backward compatible with the QLQ-C30 fatigue scale.

摘要

目的

疲劳是癌症及其治疗相关的最常见症状之一。为了更精确和灵活地测量疲劳,EORTC 生活质量组开发了一种计算机自适应测试(CAT)疲劳测量方法。这是正在进行的项目的一部分,该项目旨在开发广泛使用的 EORTC QLQ-C30 问卷的 CAT 版本。

方法

基于文献检索和专家和患者的评估,开发了 41 个新的疲劳项目(除了 QLQ-C30 疲劳量表中的三个项目)。在来自八个国家的癌症患者国际样本中评估了项目的心理测量特性,包括维度评估、对项目反应理论(IRT)模型的拟合以及差异项目功能(DIF)。

结果

来自八个国家的 1321 名癌症患者回答了问题。因子分析表明,37 个项目可以包含在一个单一维度模型中(RMSEA=0.098,TLI=0.995,CFI=0.920)。在这 37 个项目中,有两个因为与 CAT 基础的 IRT 模型拟合不良而被删除,一个因为癌症部位之间的 DIF 而被删除。

结论

我们建立了一个 34 项疲劳库,允许更精确和灵活地测量疲劳,同时仍然与 QLQ-C30 疲劳量表向后兼容。

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